Triple
T34589752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Azzo II, Margrave of Milan |
E888145
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Welf IV, Duke of Bavaria
Welf IV, Duke of Bavaria, was an 11th-century German nobleman and influential member of the Welf dynasty who became Duke of Bavaria and played a key role in the politics of the Holy Roman Empire.
|
E2119657
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Welf IV, Duke of Bavaria | Statement: [Alberto Azzo II, Margrave of Milan, child, Welf IV, Duke of Bavaria]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Welf IV, Duke of Bavaria Triple: [Alberto Azzo II, Margrave of Milan, child, Welf IV, Duke of Bavaria]
Generated description
Welf IV, Duke of Bavaria, was an 11th-century German nobleman and influential member of the Welf dynasty who became Duke of Bavaria and played a key role in the politics of the Holy Roman Empire.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720cb064c8190bd820ce3e44dc160 |
completed | May 3, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37b25155b481908528f65804b5b123 |
completed | June 21, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a37b3212994819096c32d200bfcb4ef |
completed | June 21, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37b396617c8190bc3fd123f565447a |
completed | June 21, 2026, 9:49 a.m. |
Created at: May 1, 2026, 2:03 a.m.